Kablosuz Algılayıcı Ağlarında Trafik Kontrollü Gezgin Yönlendirme Yöntemi

Kablosuz algılayıcı ağlarında (KAA), verimli veri iletimi için algılayıcı düğümleri ve gezgin alıcı (toplayıcı) düğümleri arasında sağlam bir yönlendirme protokolünün tasarlanması çok önemlidir. KAA'da, gezgin alıcı düğümlerin rastgele hareketliliği, patlak trafik durumlarında ağdaki paket gecikmesini artırır. Bu nedenle, bu çalışmada, heterojen KAA'lara dayalı bir patlak trafik kontrollü yönlendirme yöntemi aktarılmıştır. Önerilen yöntemde, algılayıcı düğümleri ağ alanına dağıtıldığında, ağ alanı her birinde belirli sayıda küme bulunan iki küme grubuna bölünmektedir. Algılayıcı ağında, her küme grubuna ait birer gezgin alıcı düğüm görev yapar. Bu gezgin alıcı düğümler, önerilen patlak trafik tabanlı bir gezginlik metodu ile seçilen gezgin yollar sayesinde, küme başlarına varır varmaz tek-atlamalı tutumla tüm verileri toplar. Bu şekilde, enerji yükü ağ arasında paylaştırılarak dengeli enerji tüketimi sağlanır. Önerilen gezginlik modelinde, patlak veri sezildiği anda, gezgin alıcı düğüm yörüngesini patlak verinin olduğu küme başına doğru güncelleyerek ağdaki verileri toplar. Önerilen yöntemi doğrulamak için Ubuntu 14.04 LTS platformunda kurulu NS-2 benzetim yazılımında performans analizleri yapılmıştır. Benzetim sonuçları, önerilen yöntemin güncel çalışmalara kıyasla, ağ ömrünü artırdığını ve ortalama enerji tüketimini azalttığını göstermektedir.

Traffic Controlled Mobile Routing Method in Wireless Sensor Networks

In wireless sensor networks (WSNs), it is essential to design a robust routing protocol between sensor nodes and mobile sinks for data transmission efficiently. In WSN, random mobility of mobile sinks increases packet latency in the network in burst traffic situations. Therefore, in this study, a burst traffic controlled routing method based on heterogeneous WSNs is introduced. In the proposed method, when the sensor nodes are distributed in the network area, the network area is divided into two cluster groups, each with a certain number of clusters. In the sensor network, a mobile sink of each cluster group acts. These mobile sinks collect all data in a single-hop attitude as soon as they arrive at the cluster, thanks to the mobile paths selected with a proposed burst traffic-based mobility method. In this way, the energy load is shared among the network, making it balanced. In the proposed mobility model, once burst data is detected, the mobile sink collects data on the network by updating its trajectory towards the beginning of the cluster where the burst data is located. Performance analyzes have been performed on the NS- 2 simulation software installed on Ubuntu 14.04 LTS platform to verify the proposed method. The simulation results show that the proposed method increases the network lifetime and reduces the average energy consumption compared to recent studies.

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